ECTS
120 credits
Duration
2 years
Training structure
Faculty of Economics
Language(s) of instruction
French
Presentation
This program trains banking finance professionals and researchers in this field.
It offers the modern practice of programming associated with statistical methods applied to large financial databases, with the aim of managing banking risks.
This course takes into account the constant evolution of the banking sector, in particular the changes in the banking risk analysts' jobs. Over the last few years, the banking professions have undergone profound changes. This evolution of banking professions and the globalization of operations have generated new risks. Indeed, international operations represent an increasing part of the balance sheet and off-balance sheet activities of credit institutions, while market interventions are diversifying and taking more complex forms. These developments have generated new types of risks and have modified the factors of financial fragility that can affect the quality of the situation of banking players. As a corollary, the banking supervisory authorities have imposed prudential rules in order to avoid the failure of banks. These rules are part of preventive action programs aimed at promoting the stability of domestic banking systems.
This new training offer allows the integration of Basel III regulatory constraints in the measurement of banking risks such as liquidity risk, asset liability management (ALM)...
The objective is to provide students with three types of skills, know-how in the mastery of quantitative methods (econometrics, analysis of large databases ...), in the analysis of risks in particular banking and banking regulation and mastery of computer tools (SAS, R, VBA, Python ....). The courses of this master in quantitative subjects take place in the MUSE Trading Room.
These skills enable students to be equipped with effective tools for measuring the risks faced by financial institutions, allowing them to join risk control departments ....
Strong links have been established for many years with regional and national professionals, such as the regional director of the Ecole Supérieure, the regional delegate of the French Federation of Banks, etc. Numerous interventions by professionals are effective in the Master 2 courses or through the UE of professionalization conferences. These professionals share their professional experiences and explain the jobs they can expect to do after completing the master's degree. Internships are often obtained after these interventions.
Conferences on Big Data, Artificial Intelligence (programming in Python), ..... are organized by Data Scientist specialists.
Students thus benefit from a very good professional training based on solid theoretical knowledge and on professional application by recognized experts in the field through tutored projects or professionalization conferences. This allows a large majority of graduates to find a job within six months of completing their Master 2. The insertion rate is over 77%.
Objectives
The objective of this course is to provide students with three types of skills, know-how in the mastery of quantitative methods (econometrics, analysis of large databases ....), in the analysis of risks, particularly banking risks and banking regulations, and the mastery of computer tools (SAS, R, VBA, Python ....).
- To provide students with the skills necessary to exercise the professions of risk analysts (analyzing the different types of risk: credit risk analyst, operational risk analyst, compliance risk analyst, liquidity risk analyst, ALM asset-liability management, risk manager within banking institutions .... ) to be able to propose personal solutions in the field of risk management (risk assessment of complex products, construction of structured products or complex portfolios ...).
- To provide students with the skills to conduct research in public agencies and to understand financial and banking regulations and operations, to detect, assess and model risks and to evaluate financial and banking products.
- Master the tools of financial modeling as well as banking econometrics that allow you to apply for jobs as financial risk analysts and back office functions.
- Acquire technical training based on the handling of large financial databases with multiple frequencies, associated with the most powerful computer software
- Acquire sufficient knowledge to apply for the Doctoral Contracts competition and/or to enroll in a Doctoral program.
- Computer knowledge and ability to model and use computer tools, software or packages often used in the markets (SAS, VBA....).
- Master the tools of financial modeling as well as banking econometrics that allow you to apply for jobs as a market operator, portfolio manager, financial risk analyst and back office functions.
- The ARB program uses tools to help students succeed. The course benefits from the intervention of a professional to prepare for the search for internships and jobs. The actions implemented are the following: Preparation of the CV and cover letter, preparation for the search for an internship and for job interviews. Workshops on job search methodology (CV, cover letter...) as well as preparation sessions for job interviews (recruitment process, types of interviews...). In addition, sessions of simulated interviews with a recruiter (professional) and a teacher of the master's degree are scheduled.
Organization
Special arrangements
Study and exam accommodations are possible for students with disabilities and/or high-level athletes.
Program
See Terms and conditions of knowledge control
Your choice: 1 of 2
English for Finance 1
2 creditsSpanish 1
Theoretical econometrics
5 creditsMarket Finance
4 creditsMonetary and financial macroeconomics
3 creditsForecasting methods
5 creditsAlgorithms and Programming
3 creditsData mining and big data
Data warehouse
Economics of Bancassurance
3 credits
Optional
Your choice: 1 of 2
Financial English 2
2 creditsSpanish 2
2 credits
Introduction to stochastic calculus
4 creditsCorporate Finance
4 creditsIntroduction to SAS
2 creditsBanking techniques
3 creditsTime series econometrics
5 creditsTechnical analysis
2 creditsApplied econometrics project
5 creditsFinancial mathematics in Excel VBA
3 credits
Professionalization conferences
Financial markets and financial theory
2 creditsNumerical methods in VBA banking
2 creditsTrading algorithm
1 creditsPortfolio management under R
1 creditsFinancial analysis (Banque de France)
1 creditsPrimary equity market: initial public offering
0.5 creditsStochastic calculus
2 creditsOperational and compliance risks
2 creditsEnglish for finance
1 creditsIntroduction to artificial intelligence in Python
Exploratory statistics (SAS)
1 creditsComputer techniques (VBA)
1 creditsFinancial Big Data
1 creditsCredit risk
2 creditsCybersecurity and cryptography
1 creditsEconometrics applied to finance
2 creditsEconometrics of financial markets
2 creditsAsset liability management (ALM)
2 creditsInterest rate risk
2 creditsFinTechs, Block-Chain and Crypto-currencies
1 creditsNumerical Methods in Actuarial Science "VBA
2 creditsProgramming in R
Banking and insurance regulations
1 credits
Admission
Conditions of access
CANDIDATES:
How to register
Registration is carried out during the registration period after a favourable opinion on a Master's degree application.
Capacity
40 students in the first year of the Master's program
30 students in the second year of the Master's program
And then
Professional integration
This master has a double purpose:
- professional purpose and leads to a job.
- research purpose: a doctorate may be pursued, subject to the quality of the applied research thesis.
This training is designed to train high-level executives for careers in banking.
The Banking Risk Analysis course offers a very complete training allowing access to the following professions: (this list is taken from the professions occupied by former students of the master)
Compliance Analyst, Banking Risk Analyst, Operational Risk Analyst, Internal Risk Controller, Portfolio Manager, Independent Forex and Cryptocurrency Trader, Investment Compliance Officer, Structured Finance Manager, Wealth Advisor, Financial Risk Analyst, Credit Risk Analyst, Compliance Officer, Credit Manager, Brokerage Business Analyst, Liquidity Risk Analyst, Data Project Manager, Data Analyst, Business Analyst, Statistical Analyst, Permanent Controller, Client Operations Manager, Credit Recovery Manager, Corporate Credit Analyst, Asset Manager, Data Manager, Compliance controller, Economic and financial data processing, Business manager, IT project manager, Developer, Database administration and handling, Permanent controller, Assistant Broker, Assistant Quant, Sales, Assistant Trader, Middle Office manager, Back Office manager, Internal auditor, Assistant Portfolio Manager, Performance Measurement and Attribution Analyst, Information Systems Designer, Account Manager, Finance Consultant, Data Project Manager, Insurance Bank Advisor, Data Scientist, Financial Advisor, Financing Manager, Derivatives Account Manager, Higher Education, CNRS Researcher......
These jobs are carried out within the main financial institutions such as :
Crédit Agricole, Banque de France, BNP Pariba, Natixis, Société Générale, Banque Populaire, CIC Lyonnaise de Banque, Astéo Luxembourg, Crédit Agricole Corporate and Investment Bank, European Central Bank, Ecobank, Allianz, Caisse d'Epargne, HSBC Bank, OFI Asset Management, la Banque Postale, Arkea, audit firm, accounting firm.....
Find all the important information on professional insertion, namely
- The rate of professional integration
- Companies that are recruiting
- Occupied trades etc...
Professional insertion Master's degree in Banking Risk Analysis